AIMC Topic: Neoplasm Metastasis
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ReCAP: Feasibility and Accuracy of Extracting Cancer Stage Information From Narrative Electronic Health Record Data.
Journal of oncology practice
Aug 25, 2015
PURPOSE: Cancer stage, one of the most important prognostic factors for cancer-specific survival, is often documented in narrative form in electronic health records (EHRs). Such documentation results in tedious and time-consuming abstraction efforts ...
Differential diagnosis of pleural mesothelioma using Logic Learning Machine.
BMC bioinformatics
Jun 1, 2015
BACKGROUND: Tumour markers are standard tools for the differential diagnosis of cancer. However, the occurrence of nonspecific symptoms and different malignancies involving the same cancer site may lead to a high proportion of misclassifications. Cla...
Cancer adjuvant chemotherapy strategic classification by artificial neural network with gene expression data: An example for non-small cell lung cancer.
Journal of biomedical informatics
May 18, 2015
PURPOSE: Adjuvant chemotherapy (ACT) is used after surgery to prevent recurrence or metastases. However, ACT for non-small cell lung cancer (NSCLC) is still controversial. This study aimed to develop prediction models to distinguish who is suitable f...
Prognosis
Female
Reproducibility of Results
Aged
Gene Expression Profiling
Lung Neoplasms
Computational Biology
Male
Middle Aged
Humans
Neural Networks, Computer
Machine Learning
Neoplasm Metastasis
Algorithms
Proportional Hazards Models
Kaplan-Meier Estimate
Gene Expression Regulation, Neoplastic
Chemotherapy, Adjuvant
Treatment Outcome
Carcinoma, Non-Small-Cell Lung
Neoplasm Recurrence, Local
Prevention from port-site metastasis.
Archives of gynecology and obstetrics
Apr 26, 2015
Port-site metastases in patients with gynecological cancer after robot-assisted operations.
Archives of gynecology and obstetrics
Feb 20, 2015
INTRODUCTION: Port-site metastasis is an extremely rare event in patients with cancer treated with robotic-assisted surgery. However, as robotic procedures are increasing, the incidence of port-site metastases might also increase. The purpose of our ...
Neural Network-based Automated Classification of 18 F-FDG PET/CT Lesions and Prognosis Prediction in Nasopharyngeal Carcinoma Without Distant Metastasis.
Clinical nuclear medicine
Aug 1, 2025
PURPOSE: To evaluate the diagnostic performance of the PET Assisted Reporting System (PARS) in nasopharyngeal carcinoma (NPC) patients without distant metastasis, and to investigate the prognostic significance of the metabolic parameters.
Uncertainty quantification for deep learning-based metastatic lesion segmentation on whole body PET/CT.
Physics in medicine and biology
May 23, 2025
Deep learning models are increasingly being implemented for automated medical image analysis to inform patient care. Most models, however, lack uncertainty information, without which the reliability of model outputs cannot be ensured. Several uncerta...
Lexical associations can characterize clinical documentation trends related to palliative care and metastatic cancer.
Scientific reports
May 18, 2025
Palliative care is known to improve quality of life in advanced cancer. Natural language processing offers insights to how documentation around palliative care in relation to metastatic cancer has changed. We analyzed inpatient clinical notes using u...
A Deep Learning-Enabled Workflow to Estimate Real-World Progression-Free Survival in Patients With Metastatic Breast Cancer: Study Using Deidentified Electronic Health Records.
JMIR cancer
May 15, 2025
BACKGROUND: Progression-free survival (PFS) is a crucial endpoint in cancer drug research. Clinician-confirmed cancer progression, namely real-world PFS (rwPFS) in unstructured text (ie, clinical notes), serves as a reasonable surrogate for real-worl...
Incidence trends, overall survival, and metastasis prediction using multiple machine learning and deep learning techniques in pediatric and adolescent population with osteosarcoma and Ewing's sarcoma: nomogram and webpage.
Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
May 1, 2025
OBJECTIVE: The objective of this study was to analyze the incidence and overall survival (OS) of osteosarcoma (OSC) and Ewing's sarcoma (EWS) in a pediatric and adolescent population, employing machine learning (ML) and deep learning (DL) models to p...
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